Attribute Based Image Duplication Alert Message Using Big Data

Abstract

Using this paper “Attribute Based Image Duplication Alert Message Using Big Data” the stranger cannot copy any of the photo which is related to the user and, we also provide fast image search. That means, the image will be searched by using the attribute name and the hyper graph learning method. The user will have a global vision on searching the photos. It will be visible and more easily findable. Users can search more within a short period. It mainly provides users privacy. We proposed a new attribute-assisted method based on hyper graph learning. First we have to train several classifiers for all the pre-defined. Attributes and each image is represented by attribute feature consisting of the responses from these classifiers. Semantic attributes are expected to narrow down the semantic gap between low-level visual features and high level semantic meanings. If any naïve user is trying to copy the images, Automatic message can be send to the users using Rabbit MQ when any stranger copy the image.

Authors and Affiliations

T. Sumallika, Ch. Suguna Latha, V. Alekya, D. Hemasindhu

Keywords

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  • EP ID EP389796
  • DOI 10.9790/9622-0701034951.
  • Views 168
  • Downloads 0

How To Cite

T. Sumallika, Ch. Suguna Latha, V. Alekya, D. Hemasindhu (2017). Attribute Based Image Duplication Alert Message Using Big Data. International Journal of engineering Research and Applications, 7(1), 49-51. https://europub.co.uk/articles/-A-389796